I am a student in a good statistics program, but I'm not always the best at picking the tools/process to apply to a problem. To be clear, this is NOT homework, I am asking for a project that I have in ...

PredictWise aggregated polling data and, for each state, estimated the probability that the Obama or Romney would win. Here is the polling data. The data frame has 51 rows(51 states). the name of this ...

I generated a qq plot using the following code. I know that qq plot is used to check whether the data is distributed normally or not. My question is what do the x and y axis labels indicate in qq plot ...

I have been trying to derive some conditional distribution for parameters of a linear transformation (represented as a matrix) and I had a lot of help on this thread yesterday. However, I realised I ...

I was asked this question in interview. I couldnt answer this, can some one help.
An investment, 16% chance to lose money on a quarter, and each quarter follows i.i.d. normal distribution. �Q: what ...

I'm doing magnetic resonance measurements, the signal that we measure is represented as complex numbers (in reality we measure two signals of a circular polarised electromagentic wave). I denote the ...

I am doing some preprocessing for a computer vision task. My target is to select a few elements (pixels) containing highest scores according to a metric that I am developing. The values of this metric ...

Im new to forum and have tried reading some articles to solve my problem but had trouble understanding some of it and others might not have been completely relevant. Below I will outline my problem ...

I'm using 50,000 values of data. I can't perform a K.Wallis test in R because my data amount is bigger than 5000. Therefore I considered to use Kolmogorov-Smirnov test.
I guess that my data follows a ...

Suppose I have a sample with sample size $N$ that is obtained experimentally, e.g. I have counted the number of birds at a certain location at a certain time.
Now suppose that the sample (the number ...

Suppose you have eight runners run a race; the distribution of their individual run times is Normal and each has mean $11$ seconds, say. The standard deviation of runner one is the smallest, two the ...

Assume that using a Gaussian discriminant for a binary classification problem, I want to classify a new data $X = x_1, x_2,...x_n$ but the corresponding value of $x_n$ is missing. I have to prove that ...

Suppose $G$ is an $m \times n$ matrix such that each entry of $G$ is a standard normal variable. We know that the spectral norm of $G$ scales as $\sqrt m + \sqrt n$. Now, given a set of indices $S$ ...